000001795 001__ 1795
000001795 005__ 20141118153454.0
000001795 04107 $$acze
000001795 046__ $$k2010-05-10
000001795 100__ $$aValtrová, M.
000001795 24500 $$aGenetic programming approximation in cement paste experimental performance

000001795 24630 $$n16$$pEngineering Mechanics 2010
000001795 260__ $$bInstitute of Thermomechanics AS CR, v.v.i., Prague
000001795 506__ $$arestricted
000001795 520__ $$2eng$$aThis article introduces results of Genetic Programming used for creation of experimental data approximations together with the search for significant parameters of an affinity cement paste hydration model. Within Genetic Programming trees, the placements of constants still has not been satisfactorily solved. Therefore, the proposed contribution also presents a search for real-valued constants employing Ordinary Least Squares. Twenty trees as results of twenty independent runs of Genetic Programming are presented. From these results the best seven trees are chosen according to specific criteria and the approximations of experimental data are shown. Still, many aspects of Genetic Programming-based symbolic regression are uncovered and especially suppression of the overfitting issues remains unsolved.

000001795 540__ $$aText je chráněný podle autorského zákona č. 121/2000 Sb.
000001795 653__ $$a

000001795 7112_ $$aEngineering Mechanics 2010$$cSvratka (CZ)$$d2010-05-10 / 2010-05-13$$gEM2010
000001795 720__ $$aValtrová, M.$$iLepš, M.
000001795 8560_ $$ffischerc@itam.cas.cz
000001795 8564_ $$s404528$$uhttps://invenio.itam.cas.cz/record/1795/files/Leps-060-PT.pdf$$y
             Original version of the author's contribution as presented on CD, SOL.
            
000001795 962__ $$r1750
000001795 980__ $$aPAPER